Offer summary
Qualifications:
Degree in Computer Science, Engineering, Mathematics, Statistics or related fields, Strong experience in Analytics, especially applied statistics, data mining and predictive modeling, Proficiency in Python and SQL, Proactive attitude in identifying analytic opportunities, Ability to define MVPs ensuring incremental deliverables.
Key responsabilities:
- Collaborate with multidisciplinary teams for data product development
- Use applied statistics, data mining, and machine learning for actionable insights
- Design and develop data products including data pipelines and exploratory analyses
- Communicate effectively with technical and non-technical audiences
- Engage directly in complex projects ensuring quality and standards are met